Member of Technical Staff - Applied Science - People Leader, AGI Autonomy
About The Position
Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up!
Requirements
- 2+ years' experience in formal management roles (i.e., with at least 3 direct reports)
- Expertise in machine vision, autonomous systems, natural language processing, or related AI/ML field
- Proficiency in Python, Java, C++, or related language
- Track record of successful projects in an applied research context
- Ability to develop and articulate a clear scientific strategy that aligns with organizational goals
- Experience in mentoring and developing scientific talent, fostering a culture of innovation and continuous learning
- Ability to communicate results and insights to both technical and non-technical audiences, including through presentations and written reports
- Capacity to work autonomously while effectively leading a team to achieve research objectives
- Strong interpersonal skills to motivate and guide team members
Responsibilities
- You will contribute directly to AI agent development in a research management role: leading a research team, aligning their goals with the broader lab, mentoring team members, and hiring great people.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
